Package: lmvar
Type: Package
Title: Linear Regression with Non-Constant Variances
Version: 1.0.0
Author: Posthuma Partners <info@posthuma-partners.nl> 
Maintainer: Marco Nijmeijer <nijmeijer@posthuma-partners.nl>
Description: Runs a linear regression in which both the expected value and the variance can vary per observation. The expected values mu follows the standard linear model mu = X_mu * beta_mu. The standard deviation sigma follows the model log(sigma) = X_sigma * beta_sigma. The package comes with two vignettes: 'Intro' gives an introduction, 'Math' gives mathematical details.
License: GPL-3
LazyData: TRUE
Imports: Matrix (>= 1.2-4), matrixcalc (>= 1.0-3), nleqslv (>= 3.0.3),
        stats (>= 3.2.5)
RoxygenNote: 6.0.1
Suggests: testthat, knitr, rmarkdown, R.rsp
VignetteBuilder: knitr, R.rsp
NeedsCompilation: no
Packaged: 2017-02-16 16:39:12 UTC; Marc
Repository: CRAN
Date/Publication: 2017-02-17 14:38:14
